.. Objectives

.. ----------

.. By the end of this tutorial, you will be able to

.. 1. Defining a list of numbers

.. 2. Squaring a list of numbers

.. 3. Plotting data points.

.. 4. Plotting errorbars.

.. Prerequisites

.. -------------

..   1. getting started with plotting

.. Author              : Amit 

   External Reviewer   :

   Checklist OK?       : <put date stamp here, if OK> [2010-10-05]

Plotting   Experimental  Data  

Hello  and welcome , this tutorial on  Plotting Experimental data is 

presented by the fossee  team.  

Here  we will discuss plotting  Experimental data. 

1. We will see how we can represent a sequence of numbers in Python. 

sequence. 

3. We will also see how we can use our graph to indicate Error.

mathematical functions in Python.

We will use  data from a Simple Pendulum  Experiment to illustrate our

points. 

{{{ Simple Pendulum data Slide }}} 

As we know for a simple pendulum length,L is directly  proportional to 

the square of time,T. We shall be plotting L and T^2 values.

First  we will have  to initiate L and  T values. We initiate them as sequence 

of values.  To tell ipython a sequence of values we  write the sequence in 

comma  seperated values inside two square brackets.  This is also  called List 

so to create two sequences

    In []: L = [0.1, 0.2, 0.3, 0.4, 0.5,0.6, 0.7, 0.8, 0.9]

    In []: t= [0.69, 0.90, 1.19,1.30, 1.47, 1.58, 1.77, 1.83, 1.94]

To obtain the  square of sequence t we will  use the function square

with argument t.This is saved into the variable tsquare.::

   In []: tsquare=square(t)

   array([  0.4761, 0.81 , 1.4161,  1.69 , 2.1609,  2.4964, 3.1329, 

   3.3489, 3.7636])

Now to plot L vs T^2 we will simply type ::

'.' here represents to plot use small dots for the point. ::

  In []: clf()

You can also specify 'o' for big dots.::

  In []: clf()

{{{ Slide with Error data included }}}

Now we  shall try  and take into  account error  into our plots . The

Error values for L and T  are on your screen.We shall again intialize

  In []: delta_L= [0.08,0.09,0.07,0.05,0.06,0.00,0.06,0.06,0.01]

  In []: delta_T= [0.04,0.08,0.11,0.05,0.03,0.03,0.01,0.07,0.01]

Now to plot L vs T^2 with an error bar we use the function errorbar()

The syntax of the command is as given on the screen. ::

    In []: errorbar(L,tsquare,xerr=delta_L, yerr=delta_T, fmt='b.')

the parameters to fmt to 'ro'. ::

    In []: clf()

    In []: errorbar(L,tsquare,xerr=delta_L, yerr=delta_T, fmt='ro')

thats it. you can explore other options to errorbar using the documentation 

of errorbar.::

   In []: errorbar?

{{{ Summary Slides }}}

In this tutorial we have learnt : 

1. How to declare a sequence of number , specifically the kind of sequence we learned was a list.

2. Plotting experimental data extending our knowledge from mathematical functions. 

3. The various options available for plotting dots instead of lines.

4. Plotting experimental data such that we can also represent error. We did this using the errorbar() function.

 {{{ Show the "sponsored by FOSSEE" slide }}}

This tutorial was created as a part of FOSSEE project.

Hope you have enjoyed and found it useful.

 Thankyou